We present a novel local-global feature fusion framework for body-weight...
Large language models (LLMs) have recently gained popularity. However, t...
Early prediction of remaining useful life (RUL) is crucial for effective...
Manufacturing industries strive to improve production efficiency and pro...
We propose PressureTransferNet, a novel method for Human Activity Recogn...
To help smart wearable researchers choose the optimal ground truth metho...
Recently self-supervised learning has been proposed in the field of huma...
Accurate camera calibration is crucial for various computer vision
appli...
Folding is an unique structural technique to enable planer materials wit...
Online clothing shopping has become increasingly popular, but the high r...
The rise of large-scale socio-technical systems in which humans interact...
We present CaptAinGlove, a textile-based, low-power (1.15Watts),
privacy...
In this work, we propose an open-source scalable end-to-end RTL framewor...
Morphological atlases are an important tool in organismal studies, and m...
Recognizing facial activity is a well-understood (but non-trivial) compu...
Ground pressure exerted by the human body is a valuable source of inform...
The current dominated wearable body motion sensor is IMU. This work pres...
We address the well-known wearable activity recognition problem of havin...
Human health is closely associated with their daily behavior and environ...
Wearable sensor-based human activity recognition (HAR) has emerged as a
...
Sensor-based 3D hand tracking is still challenging despite the massive
e...
The estimation of 3D human body shape and clothing measurements is cruci...
User dependence remains one of the most difficult general problems in Hu...
Bearing is a key component in industrial machinery and its failure may l...
Current research in eSports lacks the tools for proper game practising a...
Human activity recognition (HAR) using wearable sensors has benefited mu...
Proper training and analytics in eSports require accurately collected an...
The data imbalance problem is a frequent bottleneck in the classificatio...
Document image enhancement and binarization methods are often used to im...
The demands of automated shipping address recognition and verification h...
The rapid dynamics of COVID-19 calls for quick and effective tracking of...
Multilingualism is a cultural cornerstone of Europe and firmly anchored ...
The field of collaborative interactive learning (CIL) aims at developing...
Traditional activity recognition systems work on the basis of training,
...
Convolutional Neural Networks (CNNs) have become the state-of-the-art in...
Active learning (AL) is a learning paradigm where an active learner has ...
FuturlCT is a FET Flagship project using collective, participatory resea...